Bandwidth Extension of Speech Signals 1st Edition by Bernd Iser, Gerhard Schmidt, Wolfgang Minker ISBN 9780387688992 0387688994

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Product details:
ISBN 10: 0387688994
ISBN 13: 9780387688992
Author: Bernd Iser, Gerhard Schmidt, Wolfgang Minker

Bandwidth Extension of Speech Signals 1st Edition Table of contents:

Part 1: Introduction to Speech Signal Processing

1. Fundamentals of Speech Signals

   • Overview of Speech Production and Acoustic Features
   • Representation of Speech Signals: Time and Frequency Domains
   • Key Components of Speech: Fundamental Frequency, Formants, and Harmonics

2. Speech Signal Processing Techniques

   • Digital Signal Processing (DSP) in Speech
   • Time-Frequency Analysis of Speech Signals
   • Speech Coding and Compression Methods

3. Challenges in Bandwidth Extension

   • The Need for Bandwidth Extension in Modern Applications
   • Limitations of Narrowband Speech Signals
   • Impacts of Bandwidth Limitation on Speech Quality and Intelligibility

Part 2: Bandwidth Extension Methods and Techniques

4. Traditional Methods for Bandwidth Extension

   • Linear Prediction Coding (LPC) and its Role in Speech Signal Extension
   • Spectrum Shaping and Interpolation Techniques
   • Time-Domain Methods for Bandwidth Extension

5. Advanced Signal Processing Techniques

   • Frequency Domain Methods: Spectral Analysis and Resynthesis
   • Linear and Non-Linear Methods for Bandwidth Extension
   • Machine Learning and Deep Learning Approaches in Bandwidth Extension

6. Speech Signal Modeling for Bandwidth Extension

   • Statistical Models of Speech Signals
   • Harmonic and Stochastic Modeling in Bandwidth Extension
   • Parametric and Non-Parametric Techniques for Extending Bandwidth

Part 3: Applications and Real-World Implementation

7. Bandwidth Extension in Telecommunications

   • Impact of Bandwidth Extension on Voice over IP (VoIP) and Telephony
   • Applications in Mobile Communications and Streaming Services
   • Enhancing Speech Quality in Low-Bandwidth Networks

8. Speech Recognition and Enhancement

   • Role of Bandwidth Extension in Improving Automatic Speech Recognition (ASR)
   • Enhancing Speech for Noise Robustness
   • Applications in Hearing Aids and Assistive Listening Devices

9. Practical Considerations and Challenges

   • Real-Time Implementation of Bandwidth Extension Algorithms
   • Computational Complexity and Optimization
   • Subjective and Objective Evaluation of Speech Quality

Part 4: Future Directions and Emerging Trends

10. Future Trends in Bandwidth Extension of Speech Signals

    • Integration with 5G and Future Communication Systems
    • Advances in Neural Networks for Speech Enhancement
    • Real-Time Bandwidth Extension with Deep Learning

11. Challenges and Open Problems

    • Trade-offs Between Computational Load and Performance
    • Preserving Naturalness and Intelligibility in Extended Bandwidth Signals
    • Limitations in Current Methods and Potential Solutions

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